Altimate AI

What if your Snowflake bill quietly shrank while you were in your next meeting? With Altimate Lite on Snowflake Marketplace, you turn it on once and it keeps right-sizing your warehouses every few minutes, not once a quarter. It runs natively in your Snowflake account, so your data never leaves. Try it free for 30 days, then just $100/month, paid with Snowflake credits—no sales call, no paperwork, just your warehouses finally working as hard as you do. #SnowflakeCostOptimization #SnowflakeQueryOptimization

Five minutes to install, cuts 19% off your Snowflake warehouse bill. Altimate Lite is a Snowflake Cost Optimization app that autonomously tunes your warehouses, continuously, every few minutes, not once a quarter when someone remembers. You turn it on and the savings start. Powered by Altimate Code, it drives Snowflake Query Optimization and detailed Snowflake AI cost analysis across models, users, and services. It's a Snowflake native app, so it runs inside your Snowflake account. No data leaves. One click to install, one command to remove, and out-performs Snowflake Adaptive Compute. Free for 30 days, then $100/month. Pay with Snowflake credits. No sales call, no procurement cycle. #SnowflakeCostOptimization #SnowflakeQueryOptimization

When you ask if two SQL queries are semantically equivalent, there isn't a range of creative answers. There is exactly one right answer. LLMs are probability distributions, which makes them the wrong tool for half of a data engineer's job. Asking a probabilistic model like an LLM to handle deterministic truth is how you get flaky agents that fail in production. Syed Aqueel Haider and Surya Iyer address this by taking the LLM out of the correctness layer entirely. A deterministic Rust and TypeScript engine handles the hard logic, while the LLM focuses purely on intent and strategy. Read the full breakdown👇

Control Snowflake spend with Altimate.ai - a dedicated platform for Data Engineering best practices.

Control Snowflake spend with Altimate.ai - a dedicated platform for Data Engineering best practices.

Join us for a demo of how we achieved 53% accuracy on real-world dbt and Snowflake tasks — and what it taught us about AI-assisted data development. Then use it in your work. Claude Code Skills was recently introduced by Anthropic and has the potential to accelerate domain-specific AI applications. On this webinar, we will share the open-source library "data-engineering-skills". We will explain what these are and show how they fit into the development and prompting process. Learn how you can use open-source Claude Code Skills to turbocharge your dbt and Snowflake work (for now... support for other technologies like Databricks coming soon!)